By Jesъs Arбmburo and Antonio Ramнrez Treviсo
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Tönshoff H. , Czenkusch, C. (1998), Modelling and optimization of grinding process, Journal of Intelligent Manufacturing, 9, 1998, 303314. 44 Advances in Robotics, Automation and Control Dornfeld, D. A. (1985), Manufacturing process monitoring and analysis using acoustic emission, Journal Acoustic Emission, 4, No. 2/3, 1985, S228-S231. Dotto, F. R. L; Aguiar, P. ; Bianchi, E. C. ; Serni P. J. A. & Thomazella R. (2006); Automatic system for thermal damage detection in manufacturing process with internet monitoring, Journal of Brazilian Society of Mechanical Science & Engineering, XXVIII, No.
2002). Electrical power signals have also been largely used in grinding researches. The signal can be monitored either by the electric current of the electric motor or by the product between voltage and current signals, which gives the electrical power consumed by the electric motor. , 2002). , 2006). Neural network has attracted a special interest in grinding research owing to its functions of learning, interpolation, pattern recognition, and pattern classification. , 2001). , 2005), surface roughness is one of the most important factors in assessing and determining the quality of a part.
H. S. Udpa. (1992). Recognition of Arabic Characters. IEEE Trans. 853-857. I. J. Holt, and S. Datta. (1998). Recognition of Off-Line Cursive Handwriting. Computer Vision and Image Understanding, vol. 71, pp. 19-38. L. Souici-Meslati and M. Sellami. (2004). A Hybrid Approach for Arabic Literal Amounts Recognition. The Arabian J. ,vol. 29, pp. 177-194, 2004. Liana M & Venu G. (2006). Offline Arabic Handwriting Recognition: A Survey. IEEE, Transactions On Pattern Analysis and Machine Intelligence, vol.
Advances in Robotics Automation and Control by Jesъs Arбmburo and Antonio Ramнrez Treviсo
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